NTT DATA, a global provider of AI, digital business and technology services, has secured nearly 115 MW of new capacity commitments across three US data center campuses, reflecting rising demand for infrastructure to support artificial intelligence, and other compute-intensive workloads.
The agreements cover facilities in Gainesville, Chicago, and Sacramento, and include a deployment of more than 90 MW from a hyperscale customer along with almost 20 MW contracted by three enterprise organisations. The hyperscale commitment is connected to the company’s VA11 campus in Virginia, where the client has reserved more than 90 MW of capacity designed to support high-density and AI-focused workloads.
According to a press release, three enterprise customers signed agreements for smaller deployments. A financial services firm selected the company for its compliance standards and cooling systems designed to transition to liquid cooling as AI computing requirements increase. A gaming platform provider cited proximity to cloud availability zones and adaptable cooling architecture, while a cybersecurity company expanded an existing footprint, citing rapid deployment timelines and scalability.
Doug Adams, CEO and President, NTT Global Data Centers, said, “As compute requirements continue to accelerate, organizations are seeking infrastructure that can evolve at the same pace. These needs are not just limited to hyperscalers and enterprise organizations across every sector also require high-performance platforms to serve their customers reliably.”
These deals illustrate growing demand from both hyperscale platforms and enterprises for infrastructure capable of supporting high-density compute, evolving regulatory requirements and large-scale AI deployments.
The company has also expanded its global footprint over the past year, launching ten new facilities across North America, Europe, the Middle East and Africa, and Asia-Pacific, adding more than 370MW of IT capacity. The expansion is part of a broader plan to invest more than US$ 10bn by 2027 to support AI-driven workloads and wider digital infrastructure growth.

